Table 4. Output 3.
Poisson regression | Number of obs = 237 | |||||
---|---|---|---|---|---|---|
LR chi2(7) = 727.89 | ||||||
Prob > chi2 = 0.0000 | ||||||
Log likelihood = -3514.5847 | Pseudo R2 = 0.0938 | |||||
articles | Coef. | Std. Err. | z | P>|z| | [95% Conf. Interval] | |
1.male | .2610042 | .0275592 | 9.47 | 0.000 | .2069891 | .3150192 |
discid | ||||||
1 | .0908272 | .0263816 | 3.44 | 0.001 | .0391202 | .1425342 |
2 | .1944639 | .0278842 | 6.97 | 0.000 | .1398119 | .249116 |
countryid | ||||||
1 | .4872713 | .0270886 | 17.99 | 0.000 | .4341786 | .5403641 |
2 | .2603595 | .0350321 | 7.43 | 0.000 | .1916978 | .3290212 |
yeardeg | .0139618 | .001387 | 10.07 | 0.000 | .0112433 | .0166803 |
_cons | -24.63855 | 2.75371 | -8.95 | 0.000 | -30.03572 | -19.24138 |